This MCP enables integration of AI models with Discord through a standardized protocol, offering AI interactions, command support, and resource management for developers.
Added on:
Created by:
Apr 14 2025
This MCP enables integration of AI models with Discord through a standardized protocol, offering AI interactions, command support, and resource management for developers.
Added on:
Created by:
Apr 14 2025
ikisuke
Featured
What is Discord MCP Client?
The Discord MCP Client utilizes the Model Context Protocol (MCP) TypeScript SDK to connect Discord bots with AI models. It allows secure and standardized interaction with various AI models, supports tool calling, resource management, and offers an extensible command system. The project simplifies AI-powered chatbot creation, enabling developers to integrate AI functionalities into Discord servers efficiently by providing a robust SDK and authentication mechanisms.
Who will use Discord MCP Client?
- Developers building AI-powered Discord bots
- AI researchers integrating models with chat platforms
- Discord server administrators deploying AI features
How to use the Discord MCP Client?
- Step 1: Clone the repository from GitHub
- Step 2: Install dependencies using npm or yarn
- Step 3: Configure environment variables and OAuth credentials
- Step 4: Integrate your AI models via MCP SDK
- Step 5: Run the bot and test AI interactions
Discord MCP Client's Core Features & Benefits
The Core Features
- Connects to Discord and responds to mentions and commands
- Integrates with AI models using MCP TypeScript SDK
- Supports tool calling and resource management
- Provides OAuth authentication for secure model access
- Extensible command system
The Benefits
- Enables AI-powered interactions within Discord
- Standardized interface for multiple AI models
- Secure and scalable integration options
- Flexible and extendable to custom needs
Discord MCP Client's Main Use Cases & Applications
- Creating AI-powered chatbots for Discord servers
- Integrating AI models for automated responses and support
- Developing AI-driven moderation and assistance tools
FAQs of Discord MCP Client
Developer
- ikisuke
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Communication
A server that leverages AI and WhatsApp API to enhance messaging capabilities and automation.
A server integrating LINE Messaging API to connect AI Agents with LINE Official Accounts, enabling message exchange and user profile retrieval.
A server that manages airtime top-ups and transactions using Africa's Talking API for multiple African countries.
A server implementation for MCP with HTTP interface, providing core communication functionalities.
A Python-based client facilitating communication between various components via messaging protocols.
A protocol to enable AI-driven operations and integrations within Chatwork via customizable MCP configurations.
A Python-based MCP that integrates a Gemini client with an MCP server to facilitate communication and data exchange.
Enables DingTalk integration by implementing MCP for communication, data exchange, and automation within DingTalk ecosystem.
A customized MCP client designed for study, based on dolphin-mcp, supporting resource management and communication.
A Python-based MCP server managing remote procedure calls and server-client communication for modular applications.
AI Chatbot
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides MCP servers in Python, Go, and Rust for seamless AI tool integration in VS Code.
Implements MCP server supporting multiple agent frameworks for seamless agent communication and coordination.
Enables Claude Desktop to interact with Hacker News for fetching news, comments, and user data via MCP protocol.
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.